Advancements in C. elegans Imaging Techniques

Aug 1, 2024

Large-Scale Non-Invasive Imaging of C. elegans

Introduction

  • Presentation by Fred from Magnitude Biosciences, a C. elegans CRO based in the UK and a spin-out from Durham University.
  • Key contributors: David (CEO), Chris (CTO), and Fred (presenter).

Lifespan Assays

  • Lifespan assays are common experiments in worm research.
  • Process: Culture C. elegans on petri dishes (some untreated as controls, others treated with chemicals or mutations).
    • Worms are incubated and observed under a microscope for movement to determine if alive.
  • Challenges:
    • Requires skill and may vary with operator experience.
    • Time-consuming (counting many worms across multiple plates).
    • Use of arbitrary time points for observations, leading to potential inaccuracies.
    • Disruptive manipulations (light, temperature, mechanical) can affect worms.
    • Data obtained is primarily qualitative (alive/dead) with limited quantitative insights.

Goals for Improvement

  • Develop a method that is:
    • Quantitative and less biased.
    • More reproducible and reliable.

Automated Imaging Technology

  • Solution: Automated image acquisition and data processing.
    • Chris's expertise in physics and optics complements David's background in biology and aging.
  • Benefits:
    • High reproducibility through standardized data acquisition and processing.
    • Non-invasive: worms remain in a stable environment throughout the experiment.
    • Continuous monitoring minimizes disruptions.
  • Experimental Setup:
    • 15-20 plates at a time, imaging up to 50 worms per plate.
    • Optimal conditions maintained (24 degrees for SS104 strain).
    • Continuous data capture (image every 0.8 seconds for 160 seconds, repeated every 5 minutes).

Data Collection and Analysis

  • Data Granularity: Adjusted based on experimental needs, focusing on the early adult stage (larval stage 4 to 14 days).
  • Preparation Consistency: Utilizes defined amino acid medium to avoid batch variation, along with strict schedules for culture preparations.

Results

  • Enhanced data representation for behavior and mobility of C. elegans.
    • Case Study: Comparison between control strain AM134 and Alzheimer model GMC101.
      • Observed a decline in movement over time, more pronounced in GMC101.
    • Effect of Chemical Treatment (SMX):
      • Dose-response observed with increased lifespan, illustrated by shifting movement curves.
      • Highlights trade-offs between early and later activity in worms.
  • Speed & Behavior Monitoring:
    • Analyzed speed and the fraction of worms moving at specific thresholds, allowing deeper insights into activity and mobility.
    • Explored exploratory behaviors and chemotaxis without manual disruption.

Conclusion

  • Automation enhances data quality and throughput in lifespan experiments.
  • Provides opportunities for mining extensive data across various behavioral and physiological parameters.
  • Contact information provided for further inquiries and access to detailed resources.